[1] WANG X, YUE M, MULJADI E, et al.Probabilisticapproach for power capacity specification of wind energystorage systems[J]. IEEE transactions on industry applications, 2014, 50(2):1215-1224. [2] JIANG Q Y, HONG H S.Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations[J]. IEEE transactions on power systems, 2013, 28(2):1363-1372. [3] 冯磊, 杨淑连, 徐达, 等. 考虑风电输出功率波动性的混合储能容量多级优化配置[J]. 热力发电, 2019, 48(10): 44-50. FENG L, YANG S L, XU D, et al.Multistage optimal allocation of hybrid energy storage capacity considering the fluctuation of wind power output[J]. Thermal power generation, 2019, 48(10): 44-50. [4] 李建林, 牛萌, 田立亭, 等. 光伏扶贫电站光-储协同配置方法研究[J]. 太阳能学报, 2019, 40(1): 79-86. LI J L, NIU M, TIAN L T, et al.Research on the method of light storage collaborative configuration of photovoltaic poverty alleviation power stations[J]. Acta enerigae solaris sinica, 2019, 40(1): 79-86. [5] 韩晓娟, 田春光, 程成, 等. 基于经验模态分解的混合储能系统功率分配方法[J]. 太阳能学报, 2014, 35(10):1889-1896. HAN X J, TIAN C G, CHENG C, et al.Power allocation method of hybrid energy storage system based on empirical mode decomposition[J]. Acta energiae solaris sinica, 2014, 35(10): 1889-1896. [6] 张梦田, 田书, 曾志辉. 基于变分模态分解的混合储能容量优化配置[J]. 储能科学与技术, 2020, 9(1): 170-177. ZHANG M T, TIAN S, ZENG Z H.Optimal allocation of hybrid energy storage capacity based on variational mode decomposition[J]. Energy storage science and technology, 2020, 9(1): 170-177. [7] 张晓宇, 张建成, 王宁, 等. 基于变分模态分解的混合储能系统协调控制[J]. 中国电力, 2018, 51(9): 165-173. ZHANG X Y, ZHANG J C, WANG N, et al.Coordinated control of hybrid energy storage system based on variational mode decomposition[J]. Electric power, 2018, 51(9): 165-173. [8] 曲春辉, 孙文文, 陶思钰, 等. 基于模糊控制算法和布谷鸟搜索算法的混合储能系统优化配置[J]. 电气应用, 2019, 38(1): 16-22, 47. QU C H, SUN W W, TAO S Y, et al.Optimal configuration of hybrid energy storage system based on fuzzy control algorithm and cuckoo search algorithm[J]. Electrotechnical application, 2019, 38(1): 16-22, 47. [9] 马速良, 蒋小平, 马会萌, 等. 平抑风电波动的混合储能系统的容量配置[J]. 电力系统保护与控制, 2014, 42(8):108-114. MA S L, JIANG X P, MA H M, et al.Capacity configuration of the hybrid energy storage system for wind power smoothing[J]. Power system protection and control, 2014(8): 108-114. [10] 国家电网公司. 光伏电站接入电网技术规定[S]. 北京: 中国电力出版社, 2011. Grid State.Technical regulations about PV plant connect to grid[S]. Beijing: China Electric Power Press, 2011. [11] AN X, YANG J J.Denoising of hydropower unit vibration signal based on variational mode decomposition and approximate entropy[J]. Transactions of the Institute of Measurement & Control, 2016, 38(3): DOI: 10.117710142331215592064. [12] 颜晨煜, 樊艳芳, 姚波. 采用自适应变分模态分解的混合储能平滑光伏出力波动控制策略[J]. 高电压技术, 2019, 45(6): 1898-1906. YAN C Y, FAN Y F, YAO B.Hybrid energy storage control strategy with adaptive variational mode decomposition to smooth photovoltaic output fluctuation[J]. High voltage engineering, 2019, 45(6): 1898-1906. [13] 徐帆, 常建华, 刘秉刚, 等.基于VMD的激光雷达回波信号去噪方法研究[J]. 激光与红外, 2018, 48(11):1443-1448. XU F, CHANG J H, LIU B G, et al.De-noising method research for lidar echo signal based on variational mode decomposition[J]. Laser & infrared, 2018, 48(11): 1443-1448. [14] MANDUHU M, JONES M W.A work efficient parallel algorithm for exact euclidean distance transform[J]. IEEE transactions on image processing, 2019, 28(11): DOI: 10.1109/TIP.20192916741. [15] 张晴. 平抑风电波动的混合储能容量配置和经济性评估[D]. 长沙: 湖南大学, 2017. ZHANG Q.Hybrid energy storage capacity allocation and economic evaluation for wind power fluctuation mitigation[D]. Changsha: Hunan University, 2017. [16] YANG X S, DEB S.Cuckoo search via levy flights[C]//NaBic 2009: Proceedings of World Congress on Nature and Biologically Inspired Computing, Coimbatore, India, 2009: 210-214. [17] TUSHAR K S, SUSHREE C P, MANAS R K. An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks[J]. Journal of King Saud University-Computer and Information Sciences, 2019: DOI: 10.10161J. jksuci. 2019.11.002. [18] 李亚楠, 王倩, 宋文峰, 等. 混合储能系统平滑风电出力的变分模态分解-模糊控制策略[J]. 电力系统保护与控制, 2019, 47(7): 58-65. LI Y N, WANG Q, SONG W F, et al.Variable mode decomposition fuzzy control strategy for smooth wind power output of hybrid energy storage system[J]. Power system protection and control, 2019, 47(7): 58-65. |